ZEBRA reduces the base-to-novel generalization gap in audio-language models by fusing zero-shot and prompt-learning logits with entropy regularization.
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ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models
ZEBRA reduces the base-to-novel generalization gap in audio-language models by fusing zero-shot and prompt-learning logits with entropy regularization.